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Capgemini

Global consulting, technology services, outsourcing

Senior Consultant - Agentic AI / Generative AI

AI Application Engineering +1Updated on Nov 15
Full-timeNo salary listed

About the Job

Requirements

  • Experience working in a major consulting firm, or in industry with a consulting mindset, and a proven ability to succeed in a matrixed organization and enlist peer support for selling and delivering solutions.
  • Experience working with technical and non-technical client sponsors to collaboratively design requirements and build solutions.
  • Experience designing and developing full-stack applications across the application lifecycle, from early proofs of concept through minimum viable products, testing, and deployment of secure, scalable, production-grade solutions.
  • A proven track record delivering solutions using traditional machine learning models, generative AI models, and agentic AI frameworks in client-facing environments.
  • Experience with data engineering in cloud environments.
  • Ability to demonstrate AI's potential to unlock business value.
  • Technical skills across a relevant cross-section of the listed languages, frameworks, frontend, backend, database and storage, cloud and DevOps, and software engineering technologies; experience in all listed technologies is not required.
  • Languages and frameworks: Python 3.10 or later, TypeScript, JavaScript ES6 or later, SQL, and Bash.
  • Frontend: React.js, Next.js App Router and Server Components, Tailwind CSS, ShadCN UI, Redux, Zustand, Jest, and Cypress.
  • Backend: Django 5.x or later, Django REST Framework, FastAPI, Pydantic, Celery, Django Channels, Flask, and RESTful APIs.
  • Databases and storage: PostgreSQL, Microsoft SQL Server, MongoDB, Firestore, BigQuery, and Azure Blob Storage.
  • Cloud and DevOps: Azure App Services, Azure OpenAI, Azure Kubernetes Service, Google Cloud Vertex AI, Google Cloud Run, Docker, GitHub Actions, Azure DevOps, role-based access control, and cost controls.
  • Software engineering: clean code principles including SOLID and DRY, domain-driven design, modular architecture, test-driven development, and code quality tools.

Responsibilities

  • Design, develop, test, and deploy front-end and back-end application components in the data science and AI consulting team, focusing on generative AI and agentic solutions.
  • Collaborate with cloud architects, data scientists, product managers, and business consultants to bring ideas into production.
  • Design agentic workflows with human-in-the-loop gates, auditability, policy controls, and robust evaluation and monitoring suitable for regulated clients.
  • Translate business challenges into AI-powered solutions using generative AI, agentic AI, data science, and analytics to meet client standards and deliver results.
  • Support peers in delivering work at pace and meeting internal output and delivery standards.
  • Use full-stack skills to build AI demonstrators for potential clients and contribute to proposals, requests for proposals, bids, client pitches, and client hosting at events.
  • Contribute to internal campaigns, think tanks, white papers, practice development, operations, recruitment, team events and activities, and offering development.
  • Participate in training and certification activities that support career development and company skills needs.

Desired Qualifications

  • Experience building AI product user-experience patterns for streaming, review loops, provenance and citations, long-running tasks, and error recovery.
  • Experience with retrieval-augmented generation pipelines, agentic workflows, Model Context Protocol, large language model integration using OpenAI, Gemini, or other Hugging Face models, LangSmith, or TruLens.
  • Experience with agentic frameworks including LangChain, CrewAI, AutoGen, OpenAI Agents, or Google Agent Development Kit.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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